Applications of computer vision on automatic potato plant disease detection: A systematic literature review

NT Sinshaw, BG Assefa, SK Mohapatra… - Computational …, 2022 - Wiley Online Library
In most developing countries, the contribution of agriculture to gross domestic product is
significant. Plant disease is one of the major factors that adversely affect crop yield …

Automated recognition of optical image based potato leaf blight diseases using deep learning

KK Chakraborty, R Mukherjee, C Chakroborty… - … and Molecular Plant …, 2022 - Elsevier
Abstract The Potato crop (Solanum tuberosum L.) is one of the most important vegetable
food crop grown globally. The yield of potato crop is greatly hampered both in quality and …

Modified transfer learning frameworks to identify potato leaf diseases

MG Lanjewar, P Morajkar, PP - Multimedia Tools and Applications, 2024 - Springer
Potato diseases such as early and late blight are the most lethal diseases that can cause
significant damage to potato production. Detecting these diseases early and making a …

[HTML][HTML] Deep learning methods for enhanced stress and pest management in market garden crops: A comprehensive analysis

MGF Odounfa, CDSJ Gbemavo, SPG Tahi… - Smart Agricultural …, 2024 - Elsevier
Various deep learning methods are employed to detect stress and diseases in market
garden crops, as well as to assess their severity. This study aims to comprehensively …

[HTML][HTML] Development of a chickpea disease detection and classification model using deep learning

AJ Belay, AO Salau, M Ashagrie, MB Haile - Informatics in medicine …, 2022 - Elsevier
Ethiopia is the largest producer of chickpeas in Africa. Crop production and yield in Ethiopia
is greatly affected by plant diseases which cause loss of agricultural products every year …

Mobile convolution neural network for the recognition of potato leaf disease images

W Chen, J Chen, A Zeb, S Yang, D Zhang - Multimedia Tools and …, 2022 - Springer
Plant disease management plays a crucial role in food security as diverse diseases can
cause a substantial reduction of crop yield. As an important staple, potatoes are highly …

Weakly-supervised learning method for the recognition of potato leaf diseases

J Chen, X Deng, Y Wen, W Chen, A Zeb… - Artificial Intelligence …, 2023 - Springer
As a crucial food crop, potatoes are highly consumed worldwide, while they are also
susceptible to being infected by diverse diseases. Early detection and diagnosis can prevent …

DA‐ActNN‐YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification

G Dai, L Hu, J Fan - Computational Intelligence and …, 2022 - Wiley Online Library
To solve the problems of weak generalization of potato early and late blight recognition
models in real complex scenarios, susceptibility to interference from crop varieties, colour …

An efficient densely connected convolutional neural network for identification of plant diseases

G Yogeswararao, V Naresh, R Malmathanraj… - Multimedia Tools and …, 2022 - Springer
In this research work, novel densely connected convolutional neural network (DCCNN)
based deep learning architectures are proposed to identify diseases in the apple, corn …

Predicting and classifying potato leaf disease using k-means segmentation techniques and deep learning networks

MAR Nishad, MA Mitu, N Jahan - Procedia Computer Science, 2022 - Elsevier
Potato is one of the most cultivated crops. Worldwide potatoes have its own cultivation
priority as a staple food. For a successful potato production, we can develop a strong food …